Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Phi 4 Mini
Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Phi 4 Mini
Microsoft
2025-02-01

Gemini 2.5 Flash-Lite
2025-06-17
4 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash-Lite

Phi 4 Mini
Average performance across 1 common benchmarks

Gemini 2.5 Flash-Lite

Phi 4 Mini
Performance comparison across key benchmark categories

Gemini 2.5 Flash-Lite

Phi 4 Mini
Phi 4 Mini
2024-06-01
Gemini 2.5 Flash-Lite
2025-01-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash-Lite

Phi 4 Mini

Gemini 2.5 Flash-Lite

Phi 4 Mini